{"id":"W6976094609","doi":"10.6068/dp14ba7ff7fa87","title":"Most Recent Data (2006). Statistics Canada. CANSIM: Aboriginal People | Country: Canada | Table: Life expectancy at various ages, by population group and sex | Variable: At 70 years, Registered Indian, Females | Units: Years, 2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-001.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Life expectancy; Population; Official statistics; Socioeconomic status; Population statistics; Economic statistics; Summary statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001266894,0.00157454,0.002012443,0.0002256111,0.0003808131,0.0006879055,0.005091937,0.0009797836,0.00777975],"category_scores_gemma":[0.000534311,0.001780607,1.885023e-7,0.001132498,0.0003365405,0.0007491768,0.00295284,0.00134673,0.0003684961],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282904,"about_ca_system_score_gemma":0.02433169,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999948,"about_ca_topic_score_gemma":0.9999182,"domain_scores_codex":[0.9889883,0.0009329657,0.001786622,0.003382524,0.003025242,0.001884335],"domain_scores_gemma":[0.9853807,0.0007783973,0.002074962,0.009739963,0.0002381895,0.0017878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002726089,0.0001613233,0.0004496725,0.0007264567,0.000577254,0.002187928,0.000006713474,0.000009695472,0.000004860079,0.0001354363,0.9953699,0.00009816088],"study_design_scores_gemma":[0.001942332,0.00008888809,0.00005865347,0.00009869991,0.0008201636,0.0005838709,0.0001094141,0.0008445217,9.266572e-9,1.592583e-7,0.993461,0.001992311],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000002069966,0.01158164,0.000004580197,0.000004436944,0.001263839,0.001492228,0.9843946,0.0002287037,0.001027927],"genre_scores_gemma":[0.000007749934,0.006088887,0.0003405398,0.0004379165,0.0005216196,0.00003655216,0.9800388,0.001047269,0.01148062],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02204879,"threshold_uncertainty_score":0.9997002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02735603521071396,"score_gpt":0.2591043810043133,"score_spread":0.2317483457935994,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}